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In addition, some methods benefit from having different ways in which they can be carried out.
These methods benefit from computational efficiency as only the initial and final states of the system are evaluated, yet there remains a need for strengthening their theoretical foundation.
We could show that the different data gathering methods "benefit transfer" and "expert-based assessment" have a considerable impact on the evaluation outcomes.
The new optimization methods benefit from the soft computing capabilities of global optimization and multi-objective optimization rather than choosing a starting point by trial and error and combining multiple criteria into a single criterion in conventional lens design techniques.
By indexing into real data unit-selection methods benefit from the intrinsic realism of the data itself.
DNA-based identification methods benefit from large, public, DNA sequence repositories, and many openly accessible or downloadable analysis tools.
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Fusion of machine learning methods benefits in decision support systems.
In comparison with manual methods, benefits from the increase of polyphenol concentrations, the reduction of extraction time and organic solvent amounts were observed with the PLE method.
Since bridge construction is a complex process involving multiple types of plant and equipment, applying such virtual methods benefits the understanding of all parties in construction practice.
This paper reviews the methods, benefits and challenges associated with the adoption and translation of computational fluid dynamics (CFD) modelling within cardiovascular medicine.
These findings support the notion that the expansion of the feature set, through the use of the imputation methods, benefits the classification process.
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